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#Robot models and learning
Oct 29Thu
  1. 新智元 · 微信公众号58

    Qiyuan Robotics rolls out 5,000 robots, discusses fast-slow brain division of labor and Hil-UMI data paradigm

    Qiyuan Robotics announced it has rolled out 5,000 units and disclosed its Physical AI technology roadmap: a GPT-type large model serves as the S2 slow brain for high-level planning, while its self-developed VLA acts as the S1 fast brain to execute tasks such as folding clothes and tidying desktops. Its newly proposed Hil-UMI collection paradigm achieved data collection efficiency 5.63 times that of conventional real-robot HG-DAgger in a desktop-tidying experiment. The team believes general large models are a public resource, with the moat lying in the robot body, high-quality data, and the training loop, and says consumer household chores need task completion rates above 95% before they meet commercialization conditions.

  2. 新智元 · 微信公众号78

    AgiBot releases GO-3 Preview embodied model, tops three robotics leaderboards and plans full open source by year-end

    AgiBot officially released its GO-3 Preview embodied model on October 29, taking Top 1 on robotics leaderboards including RoboDojo, RoboTwin, and RoboColiseum, and expects to fully open source it by year-end.

    Why it matters: AgiBot links pretraining, post-training, and post-deployment learning into a single pipeline, which readers can use to compare differences in scaling approaches for embodied models.

  3. 维科网机器人 · 微信公众号70

    Jujiao Industry completes hundred-million-yuan Series A to advance mass production of fabric electronic skin

    Jujiao Industry announced the completion of a hundred-million-yuan Series A funding round led by Ant Group, with existing shareholders Lingyi Venture Capital, Weihai Gangrong, and Qingdao Hexin continuing to follow on. The funds will be used for large-scale mass-production delivery of fabric electronic skin, R&D into tactile and multimodal perception, and expansion of application scenarios. The company said that in September 2025 its 1,000th set of humanoid robot fabric electronic skin rolled off the line, that its factory has an automotive-grade capacity of 200,000 units and a production yield of 95%, and that it has more than 400 customers.

  4. 戴盟机器人72

    Daimon Robotics completes hundreds of millions in strategic financing, led by Ant Group

    Daimon Robotics announced the completion of a strategic funding round of hundreds of millions, led by Ant Group with existing shareholders oversubscribing, just two months after its hundred-million-yuan Series A. The company also launched its tactile-anchored world model Daimon-TWM, with parameter scale at the 10B level, capable of real-time inference on the NVIDIA RTX 5090 platform, and claims that its average success rate on contact-intensive manipulation tasks is twice that of π0.5. Daimon has also built the tactile full-modality dataset Daimon-Infinity; after the first 10,000 hours of data were open-sourced, it received nearly 5 million downloads on the ModelScope community.

    Why it matters: Beyond the funding news, the original article also details the architecture and data-collection layout of the tactile world model Daimon-TWM, which helps in understanding the technical proposition of the tactile approach.

  5. 雷科技75

    AgiBot releases embodied foundation model GO-3 Preview, tops three major leaderboards including RoboDojo

    On October 29, AgiBot released its next-generation embodied foundation model GO-3 Preview, which uses the WRAM (World Reasoning Action Model) architecture to connect task reasoning, future prediction, and action generation. It has ranked first on three major evaluation leaderboards: RoboDojo, RoboTwin, and RoboColiseum. AgiBot plans to fully open-source it by the end of 2026.

  6. 戴盟机器人55

    Daimon Robotics presents Daimon-TWM tactile-anchored world model and full-chain physical intelligence system at IROS 2026

    At IROS 2026, held September 27 to October 1 in Pittsburgh, USA, Daimon Robotics presented its full-chain physical intelligence system spanning perception, data, and models under the theme From Touch to Intelligence, centered on the Daimon-TWM tactile-anchored world model.

  7. 拓斯达58

    Topstar's humanoid dual-arm robot enters 3C irregular-part sorting, cutting changeover time to minutes

    Topstar has launched a humanoid dual-arm robot solution for sorting irregular parts. Operators issue commands in natural language, and TOP Agent parses the tasks and coordinates visual perception, motion control, and force-controlled gripping, cutting changeover time from hours to minutes. On the hardware side, the humanoid dual arms have a rated payload of 8 kg and repeat positioning accuracy of ±0.05 mm, are equipped with a binocular vision system and a force-controlled adaptive gripping module, and support 24/7 continuous operation. The solution has completed deployment validation in the supply chain of a leading 3C brand and can optionally be equipped with edge computing and industrial large models to extend to processes such as appearance inspection.

  8. Xbotics具身智能实验室 · 微信公众号58

    WeRide Subsidiary JingShuo Technology Secures Tens of Millions of USD in Pre-A Funding

    WeRide disclosed that its subsidiary JingShuo Technology has received a Pre-A round of tens of millions of USD co-invested by Jiayu Capital, the HKSTP Venture Fund, Sirius Capital, and others, marking the first external capital introduced since its founding; the round is still in progress. JingShuo Technology builds data and model infrastructure with its WorldEngine data platform and self-developed world model GENESIS-Robotics, and currently has 100+ customers and ecosystem partners, with order backlog in the billions of yuan and annual revenue growth exceeding 100%.

  10. 云启资本60

    PHYMI Tech releases first robot Sagi, featuring four-wheeled-legged humanoid configuration and PHYMI BRAIN 1.0

    PHYMI officially released its first robot, Sagi, on October 28. It adopts a "four-wheeled-legged humanoid configuration" combining four wheeled legs with a humanoid upper body, dual arms, and a rear box, targeting scenarios such as office delivery, community errands, and outdoor camping transport.

    Why it matters: The first four-wheeled-legged humanoid robot presents a complete design approach covering configuration trade-offs, a three-layer model, and a data system, allowing comparison with existing bipedal routes to understand the choice of form.

  11. 智源研究院 · 微信公众号40

    BAAI's "Source Innovation Program" Holds First Demo Day: Five AI Hard-Tech Projects Unveiled

    On October 26, the first demo day of the Beijing Academy of Artificial Intelligence (BAAI) "Source Innovation Program" was held at the Zhongguancun International Technology Trading Center. Five projects were unveiled: Linjie Core Technology, Lingshu Qizhi, Zhangliang Chang Technology, Cangqiong Jizhi, and Qianxiangliang Technology, covering directions including 3D self-selecting V-RRAM chips, neuromorphic embodied intelligence, Hamiltonian world models, physical intelligence in extreme environments, and unified world models of surface physical environments.

  12. 钛媒体81

    Astra's Shockwave and the Embodied AI Industry's 50 Days

    In the 50 days since GPT-6 Astra was released, the embodied AI industry has conducted intensive evaluations and discussions around it, and general-purpose large models have begun directly taking over robot operation. Tests by SenseTime and several institutions concluded that Astra is basically capable of completing embodied tasks, but still has a clear gap from practical use in real environments, underperforming in millimeter-level contact, dynamic control, and response speed. The article also reviews industry uses such as using Astra directly for policies, reviewing VLA actions, building simulation environments, and data annotation, as well as chain reactions including cooling financing and major companies stepping up data collection.

    Why it matters: It reviews evaluation results, company reactions, and industrial chain changes in the embodied AI industry within 50 days of GPT-6 Astra's release, presenting the differentiated landscape after general-purpose large models entered robot operation.

  13. AgiBot75

    AGIBOT Unveils Worken Metrics Framework, AHA3 Hardware Platform, and G2 Max Industrial Robot at 2026 Innovation Day

    At its 2026 Innovation Day, AGIBOT proposed the Worken (effective intelligent working hours) framework, which measures robots' effective output in real environments using three metrics: number of active robots, autonomous working hours, and output efficiency ratio.

    Why it matters: AGIBOT announced its hardware platform, foundation model, operating system, and mass-production model all at once, giving readers a basis to judge its shift from manufacturing scale to measurable output.

  16. Guyuehome58

    JEPLO: Terrain-Adaptive Gait Control for Quadruped Robots Based on JEPA and LiDAR Perception

    JEPLO proposes a terrain-adaptive gait control method for quadruped robots that aggregates single-LiDAR point clouds into depth observations and predicts the next-beat latent variable in latent space, without reconstructing images. The method is supplemented by teacher-student distillation and distribution regularization; pretrained weights are reproduced in simulation, and principal component analysis of the latent variables clusters clearly by terrain.

  17. Guyuehome62

    Analysis of Inverted-Pendulum Dynamic Balance Control for a Wheel-Legged Quadruped Robot

    The article derives the dynamics of a wheel-legged inverted pendulum and explains why the wheels must accelerate in the direction of the fall for a quadruped robot to stand on only its two rear wheels. It also analyzes the privileged-information design of an asymmetric actor-critic and tests the limits of four policies through cross-physics-engine experiments.

  18. Guyuehome60

    OpenDoge uses observation-history implicit state estimation to control quadruped robot locomotion

    OpenDoge proposes a hybrid internal model for quadruped robot locomotion control that, without terrain maps or contact sensors, encodes observation history into a velocity estimate and a 16-dimensional latent state to determine gait phase and external disturbances. The article combines real inference data to examine what information the latent state carries and what it lacks.

  19. Guyuehome58

    OpenWAM code walkthrough: Dual-System architecture and Flow Matching training pipeline

    Gu Yue Ju published a source-code walkthrough of OpenWAM, covering the project structure, the Dual-System architecture, Video/Action joint attention, the Flow Matching training pipeline, and inference deployment, organized around key code. The material provides only an abstract and does not give specific code details or conclusions.

  20. Guyuehome42

    CKT-WAM source code walkthrough: Teacher intermediate-layer feature extraction and AdapterBank routing

    This CKT-WAM source code walkthrough focuses on Teacher intermediate-layer feature extraction, AdapterBank compression and routing, and the full pipeline for injecting Context into the Student WAM. The article breaks down this information pathway from teacher features to the student world model (WAM) section by section, together with the key code files.

  21. Guyuehome51

    Robomimic Recurrent Behavior Cloning Policy: Likelihood Modeling, LSTM Deployment, and OSC Control Reproduction

    This content describes reproducing the lift and can manipulation tasks in MuJoCo using the official recurrent behavior cloning weights from the robomimic model zoo. It reconstructs the mathematical details of BC likelihood modeling, LSTM deployment semantics, and OSC impedance control.

  22. Guyuehome57

    WaterSpiderbot: Kinematic Modeling and Reinforcement Learning Gait Control for an Eight-Legged Bionic Spider Robot

    This material analyzes the eight-legged bionic robot WaterSpiderbot, covering forward and inverse kinematics of the three-joint leg chain, MuJoCo contact support mechanics, and the SAC gait policy, and provides a complete reproducible training loop. The article also diagnoses the structural reason why learning never starts under the default configuration and offers a fix.

  23. Guyuehome58

    AME: Terrain-attention encoding controls G1 humanoid robot walking on complex terrain

    The article introduces a terrain-attention encoding method called AME that encodes a 1.6×1.0-meter elevation map for the G1 humanoid robot into 187 terrain tokens, uses the robot's proprioceptive state as a single query for cross-attention to extract terrain features, and the policy uses these to walk on steps, plum blossom piles, and slopes. The article derives the encoder structure, attention mechanism, and reward design; the full body of the text is not provided in the materials.

  25. OFweek Robotics42

    Humanoid robots are about to deliver big results: Tesla's Optimus production line begins operation, Chinese manufacturers account for 97% of global shipments

    On October 21, Tesla announced that Optimus has begun production at a mass-production line at its Fremont, California factory. The line was converted from the old Model S and Model X lines in 46 days and is designed for an annual capacity of 1 million units. In the first half of this year, global humanoid robot shipments totaled about 19,100 units, with Chinese manufacturers taking more than 97%, including about 8,400 units from AgiBot and about 5,900 from Unitree. Wang Xingxing moved his forecast for embodied intelligence's "ChatGPT moment" up from two to three years to as soon as one to two years.

  26. 钛媒体62

    Humanoid Robots Poised for a Major Breakthrough: Tesla Optimus Begins Mass Production, Chinese Manufacturers Capture 90% of Global Shipments

    In its Q3 2026 earnings report, Tesla announced that Optimus has started production on a mass-production line at its Fremont, California factory. The line was converted from the former Model S and Model X lines in 46 days and is designed for an annual capacity of 1 million units.

  27. 钛媒体58

    From Genie 4 to ByteDance's world model: Zhang Yiming's "generate the next second" plan

    Google released the world model Genie 4 on October 28; users can use natural language to change the weather, move the camera, and introduce characters in real time, and the model includes physical simulations such as aerodynamics and collisions, and adds sound generation for the first time. The article also reviews ByteDance's work on world models since 2024, including two routes, VLA and 3D simulation, as well as Seedance 2.5, Seed3D, and SeedRealtime, and Zhang Yiming personally coordinating resources with the aim of connecting AI models, cloud computing, content platforms, and Pico hardware.

  28. 36Kr Embodied Intelligence62

    AgiBot releases GO-3 Preview embodied foundation model, plans open source release by year-end and launch of Genie Master framework

    At the 2026 AgiBot Innovation Day, Yao Maoqing, AgiBot co-founder, co-president, and president of the embodied business system, officially released the new-generation embodied foundation model GO-3 Preview. AgiBot plans to fully open source GO-3 Preview and the embodied Agent framework Genie Master by the end of 2026.

  29. Guyuehome0

    From Jev's structured judgment to UniIntervene: How robot reinforcement learning decides to "continue or take over"

    A team at Nanyang Technological University proposed UniIntervene, a human-in-the-loop reinforcement learning method for real robots, aiming to reduce reliance on manual takeover during robot training. The paper validated the method on grasping, insertion, wiping, and folding tasks with a UR7e robotic arm.

  30. Guyuehome42

    Teaching GPT-6 Astra to Improve Robotic Arms from Failure: An Auditable Self-Supervised Route

    As an embodied policy candidate, GPT-6 Astra can already organize complex tasks across vision, language, state, and tool interfaces, but completing a single operation and forming new capabilities from continuous failure are problems at two different levels. The article confines self-supervised learning to this improvement stage and proposes an auditable self-supervised route for letting the model learn to improve from robotic arm failures.

  31. New Strategy Robotics74

    AgiBot releases embodied Agent framework Genie Master, validated in real convenience-store scenarios with Physical RSI

    During AI WAVE, AgiBot released the embodied Agent framework Genie Master, which lets robots autonomously locate the causes of failures after deployment, adjust strategies, and accumulate experience. The framework proposes the Embodied Execution Protocol (EEP), unifying four types of interfaces: capability, guidance, feedback, and continuity. Through two routes, Harness RSI and Policy RSI, it retains experience in prompts and memory and solidifies it into action-policy parameters, respectively.

  32. HuggingFace Daily Papers79

    CaPtain: A Post-Training Pipeline for Code-as-Policy Robot Agents

    CaPtain proposes an open post-training pipeline that trains small open vision-language models such as Qwen3.5-4B into code-as-policy (CaP) robot agents that do not rely on VLAs, frontier models, or privileged state at test time.

    Why it matters: The work proposes using a physical critic to assign credit across multi-turn code policies and presents a complete training procedure for small models on LIBERO and real robots.

  33. HuggingFace Daily Papers62

    HiFOR: A Hierarchical Foresight Framework with Action-Guided World Retrieval for Vision-Language-Action Models

    HiFOR proposes a hierarchical foresight framework with action-guided world retrieval for vision-language-action (VLA) models. Its hierarchical foresight jointly predicts short-term state evolution, semantic milestones, and the final goal state through a Hierarchical Dependency Mask (HDM), while structure-aware latent world modeling organizes future representations along the temporal, view, and spatial dimensions, and action-guided factorized world retrieval retrieves relevant future information by action representation during denoising. The authors report that the method's effectiveness was validated on two simulation benchmarks and six real-world robotic manipulation tasks.

  34. AgiBot72

    AgiBot releases embodied foundation model GO-3 Preview, ranks first on three embodied intelligence benchmarks

    AgiBot has released the embodied foundation model GO-3 Preview, built on its self-developed WRAM (World Reasoning Action Model) architecture that unifies task understanding, future state prediction, and action generation, and it ranks first on three embodied intelligence benchmarks: RoboDojo, RoboTwin, and RoboColiseum. It is planned to be fully open-sourced by the end of 2026.

    Why it matters: The original article fully discloses GO-3 Preview's three-stage design of pretraining, post-training, and post-deployment learning, which can be used to understand the engineering path for scaling embodied models across their full lifecycle.

  36. HuggingFace Daily Papers71

    WorldBridge: Bridging Video and Action Experts for Task Generalization in World Action Models

    WorldBridge proposes a World Action Model (WAM) that connects separate video and action experts through structured attention and trains them with joint flow matching. On RoboTwin 2.0, using only in-distribution video-action supervision yields a 25.07% success rate on out-of-distribution tasks; adding task videos without action labels raises it to 55.90%, and adding one action-labeled demonstration per task further raises it to 70.70%.

  38. Reddit r/robotics62

    LEAN: Reinforcement Learning-Based Energy-Aware Navigation Planner Released

    The authors have released LEAN, a reinforcement learning-based local energy-aware navigation planner. The code is open-sourced on GitHub, and the paper was published in IEEE Robotics and Automation Letters. The authors state that the method does not require using proximity to the goal as a reward; instead, it lets the agent learn from failed trajectories and provides an explicit energy signal. An accompanying video compares the model's inference performance in real environments against an ablation version without energy awareness and a classical NMPC planner.

  39. HuggingFace Daily Papers55

    QUAN: Quaternion Approximate Networks Improve Image Classification and Oriented Object Detection

    The paper proposes Quaternion Approximate Networks (QUAN), which approximate quaternion convolution through Hamilton product decomposition using real-valued operations, paired with custom CUDA kernels to achieve rotation-equivariant image classification and object detection. The authors also propose Independent Quaternion Batch Normalization (IQBN) to stabilize training and extend quaternion operations to spatial attention mechanisms.

  40. The Humanoid Hub27

    Tesla Cancels Thanksgiving Investor Tour; Optimus Data Collection and 'Academy' Plan Draw Attention

    Tesla did not invite major investors to tour the Fremont factory this Thanksgiving as it has in past years, a move interpreted as extending the confidentiality period for the Optimus facility. Sources cited by Scobleizer say human data collection is 'massive in scale,' covering both home and factory scenarios; data collection operator positions appeared at Tesla about three years ago, requiring workers to wear 30-pound equipment.